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| Section | Objectives |
|---|---|
| Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| AI Lifecycle Controls | - Controls across AI development lifecycle
|
| AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
| AI Risk Management | - Risk identification and assessment for AI systems
|
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NEW QUESTION # 147
A risk practitioner is developing risk scenarios related to successful data poisoning attacks on an AI model used across the organization. Which of the following is the BEST approach to help ensure the scenarios are relevant?
Answer: C
Explanation:
Risk scenario development in AI requires that scenarios be grounded in organizational context, business processes, and actual threat landscapes. Risk scenarios must reflect the specific systems, data flows, and stakeholder concerns relevant to the organization.
Why D is Correct: According to the ISACA AAIR Study Guide, engaging key stakeholders is the cornerstone of effective risk scenario development. Stakeholders bring domain knowledge, business context, and awareness of operational dependencies that technical practitioners may lack. This collaborative approach ensures scenarios address real-world consequences, organizational risk appetite, and business-critical functions-making them actionable and relevant.
Why A is Wrong: Adversarial testing in a sandbox validates controls but does not by itself produce contextually relevant risk scenarios. It is a technical activity, not a scenario development process.
Why B is Wrong: Peer benchmarking provides useful threat intelligence but cannot replace stakeholder engagement. Industry peer data may not reflect the organization's specific AI architecture or risk tolerance.
Why C is Wrong: Data flow diagrams are useful supporting artifacts but describe technical pathways rather than capturing the organizational and business context required for relevant risk scenarios.
NEW QUESTION # 148
A risk practitioner is developing new risk scenarios related to an organization ' s use of AI tools to predict industrial equipment failures. Which of the following is MOST important for the risk practitioner to verify?
Answer: C
Explanation:
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. Predictive-maintenance models can become unreliable when equipment behavior, operating conditions, or sensor relationships change. The practitioner should verify that the model can adapt to changing operational conditions rather than merely checking software version or end-user training effort. This makes option C, The model is capable of adjusting quickly to changes in operational conditions, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 149
Which of the following is the MOST important reason to include AI-specific risk and compliance clauses in vendor contracts?
Answer: D
Explanation:
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. AI-specific contract clauses should clearly allocate liability and responsibilities for breaches affecting models, data, and services. Baseline frameworks and anonymization duties may be included, but enforceable accountability is the key reason for risk-based contracting. This makes option A, Assignment of liability for breaches impacting models and training data, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 150
Which of the following is the PRIMARY benefit of tailoring AI governance to an organization's culture and risk tolerance?
Answer: C
Explanation:
AI governance frameworks that are disconnected from organizational culture and risk tolerance face adoption resistance and produce policies that are either too restrictive or too permissive. Tailored governance is more likely to be embraced by stakeholders and produce risk policies calibrated to the organization's actual risk appetite.
Why B is Correct: The ISACA AAIR Study Guide emphasizes that governance tailored to culture and risk tolerance produces two primary benefits: stakeholders are more likely to accept and follow governance policies that reflect their own values and operational realities, and the resulting policies are appropriately calibrated to actual risk appetite rather than generic standards. Together, these produce more effective, sustainable governance.
Why A is Wrong: Model explainability is a technical property of individual AI systems, not a governance tailoring outcome. Regulatory compliance may improve with tailored governance but is a compliance benefit, not the primary benefit of cultural alignment.
Why C is Wrong: Automation of risk assessment and accountability clarity are process improvements that may result from better governance design but are not the primary benefit of cultural and risk tolerance alignment.
Why D is Wrong: Training programs and reskilling are workforce development activities. While governance reform may highlight training needs, skills development is an enabling activity rather than the primary benefit of culturally tailored governance.
NEW QUESTION # 151
A business unit must implement and start using an AI system immediately and cannot follow the usual approval process. Which of the following is the BEST course of action?
Answer: A
Explanation:
Within the ISACA Advanced in AI Risk framework, governance decisions should align AI use with policy, accountability, stakeholder expectations, risk appetite, and applicable legal or ethical obligations. An urgent need does not justify bypassing governance without authorization. A formal exception approved by the risk owner preserves accountability and ensures the deviation, conditions, and residual risk are documented and accepted by the proper authority. This makes option C, Obtain approval from the risk owner for an exception to the policy, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
NEW QUESTION # 152
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